Schneider Electric's Partnership with Nvidia for AI Power

Nvidia is partnering with leading players in the data centre industry, including Schneider Electric, to co-develop advanced cooling power, building management and control systems tailored for both digital and physical AI data centres.
The collaboration aims to drive forward new research and development initiatives for power, cooling, controls and high-density rack systems.
- R&D commitment to co-develop new cooling, power, building management and control systems for digital and physical AI data centres
- Supporting Europe’s AI infrastructure ambitions and aligning with the ‘AI Continent Action Plan’ and ‘InvestAI’
- Schneider Electric’s launch of a new Nvidia-enabled rack solution
This will facilitate the evolution of AI factories across Europe and other regions worldwide.
“Schneider Electric and NVIDIA are not just partners — our teams are driving advanced R&D, co-developing the infrastructure needed to power the next wave of AI factories globally,” says Olivier Blum, CEO of Schneider Electric.
“Together, we’ve seen tremendous success in deploying next-generation power and liquid cooling solutions, purpose-built for AI data centres.”
AI infrastructure growth in Europe
Announced during NVIDIA GTC Paris, the unique partnership is designed to bring together world leaders in sustainability and accelerated computing to support the European Union’s (EU) AI infrastructure ambitions and its ‘InvestAI’ initiative, which plans to mobilise a €200 billion (US$228.77bn) investment in AI.
The companies aim to harness their expertise in AI-ready infrastructure, sustainability and grid coordination to align with the European Commission’s ‘AI Continent Action Plan’.
This initiative targets the establishment of at least 13 AI factories across Europe, alongside up to five AI gigafactories.
Olivier explains: “This strategic partnership — bringing together the world leaders in sustainability and accelerated computing — allows us to further accelerate this momentum, pushing the boundaries of what’s possible for the AI workloads of tomorrow.”
“These innovations enable rapid deployment and efficient operation of next-generation AI factories at scale,” says Pablo Ruiz Escribano, Senior Vice President, Secure Power Europe at Schneider Electric.
“By leveraging our expertise, the partnership supports the EU’s goals and actively helps investors and customers align with the EU’s €200 billion AI investment strategy.”
Rapid data centre deployment
Following the announcement, Schneider Electric released a suite of new AI-ready data centre solutions, which include the new EcoStruxure™ Pod and Rack Infrastructure.
The Prefabricated Modular EcoStruxure Pod Data Centre offers a scalable, pod-based architecture designed for swift AI data centre deployment.
In conjunction with this, Schneider Electric has developed a new Open Compute Project (OCP) inspired rack system to support the NVIDIA GB200 NVL72 platform, which leverages the NVIDIA MGX modular architecture, integrating Schneider Electric into NVIDIA's HGX and MGX ecosystems for the first time.
These new announcements aim to build on a series of milestones shared by the two global leaders earlier this year.
This includes Schneider Electric and ETAP unveiling the world’s first digital twin for electrical and large-scale power systems in AI factories using the NVIDIA Omniverse Blueprint.
Together, Schneider Electric and Nvidia have also co-developed a series of full electrical and liquid cooling-based reference designs.
Many of these include solutions from Motivair’s liquid cooling portfolio, following its acquisition by Schneider Electric in March 2025.
Founder and CEO of Nvidia, Jensen Huang, adds: “AI is the defining technology of our time—the most transformative force reshaping our world.
“Together with Schneider Electric, we are building AI factories: the essential infrastructure that brings AI to every company, industry and society.”
Advancing sustainable data centres
Nvidia is making strides in supercomputing efforts, which include advancing JUPITER in Europe.
This rapid innovation in data centres necessitates that operators position themselves to support this scalable growth, with a focus on sustainability pledges.
Schneider Electric is a well-recognised leader in sustainability across the industry, and it has provided insights into the partnership's environmental impact with Nvidia.
“The growth of AI doesn’t have to derail our data centre sustainability goals,” Pablo explains.
“Solutions like energy efficient infrastructure, liquid cooling and AI-powered energy management are powerful tools that will help data centres balance performance with environmental responsibility.”
He continues: “As global demands for data centres grow, we see many predictions that suggest electrical grids may fail to keep pace and create challenges for AI’s role in industry growth. At Schneider, we believe this is overhyped. While it is true that some factors have combined to strain the grid and limit capacity in some regions, there are viable options for data centres to continue building as utility companies take steps to mitigate these challenges.
“In future, data centres may also become utilities, combining AI infrastructure and renewable energy systems as one complete ecosystem.”
In the meantime, Pablo suggests that it’s critical for the industry to continue exploring innovative solutions to manage energy constraints.
“This involves a strategic shift in energy procurement and utilising alternative power sources such as natural gas turbines, HVO-fueled generators, wind, solar, fuel cells and battery storage systems to ensure AI’s role in data centre development is fully realised,” he explains.
“[Schneider Electric and Nvidia] are driving advanced R&D and co-developing the infrastructure needed to power the next wave of AI factories globally. Our multi-domain expertise across data centres, industrial automation, buildings and the grid, together with our global supply chain, facilitates the speed and scale required to propel AI adoption.
“We’re pushing the boundaries of what’s possible for the AI workloads of tomorrow.”

